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<h1 id="replication-jun-and-lee-2022">Replication: Jun and Lee (2022)</h1>
<h2 id="overview">Overview</h2>
<p>This folder contains files to replicate results from the following paper:</p>
<p>Sung Jae Jun and Sokbae Lee. 2022. Identifying the Effect of Persuasion. <a href="https://arxiv.org/abs/1812.02276">https://arxiv.org/abs/1812.02276</a>. Accepted for publication in the <em>Journal of Political Economy</em>.</p>
<h2 id="replication-folder-structure">Replication folder structure</h2>
<p>The following diagram summarizes the organization of the replication files.</p>
<pre class="hljs"><code><div>replications-JunLee-JPE         # Replication files for Jun and Lee (2022)
    ├── data                    # 	Datasets
    |   ├── ChenYang2019                        #	Dataset from Chen and Yang (2019)
    |   ├── DellaVignaKaplan2007                #	Dataset from DellaVigna and Kaplan (2007)
    |   ├── DellaVignaListMalmendier2012        #	Dataset from DellaVigna, List, and Malmendier (2012)
    |   ├── EnikolopovPetrovaZhuravskaya2011	#	Dataset from Enikolopov, Petrova, and Zhuravskaya (2011)
    |   ├── GerberKarlanBergan2009              #	Dataset from Gerber, Karlan, and Bergan (2009)
    ├── scripts                 # 	Replication scripts
    |   ├── libraries           #       	Stata module &quot;persuasio&quot;
    |   ├── logs                #       	Stata log files are saved here
    |   ├── table1.do           #       	Make Table 1
    |   ├── table2.do           #       	Make Table 2
    |   ├── table3.do           #       	Make Table 3
    |   ├── table4.do           #       	Make Table 4
    |   ├── tableD1.do          #       	Make Table D1
    |   |── figureD1input.do    #       	Prepare input for Figure D1
    |   ├── FigureD1.R          #       	Make Figure D1
    |   ├── tableE1.do          #       	Make Table E1
    |   ├── tableE2.do          #       	Make Table E2
    |   ├── tableH1.do          #       	Make Table H1
    |   ├── CY19_data.do        #		Prepare input for Table 2
    ├── results                 #	Replication Figure D1 and all the tables
    └── run.do                  #	Master script that calls the replication scripts (except FigureD1.R)
</div></code></pre>
<h2 id="instructions">Instructions</h2>
<p>First, download this repository. Then, run the following Stata script: <code>run.do</code>. This master script runs all the scripts required to replicate the main results except Figure D1, which can be generated by running <code>FigureD1.R</code>. Other scripts are contained in the <code>scripts</code> directory and are organized as follows:</p>
<ul>
<li><code>scripts/libraries</code> contains user-built Stata commands used in the analysis.</li>
<li>To generate the dataset <code>ChenYang2019.dta</code>, it is necessary to run <code>CY19_data.do</code> after downloading the original dataset from Chen and Yang (2019) at https://www.aeaweb.org/articles?id=10.1257/aer.20171765 and storing them at <code>data/ChenYang2019</code>. This dataset is already created and stored at <code>data/ChenYang2019</code>.</li>
</ul>
<p>Before running <code>run.do</code>, the user must define the global macro <code>Persuasion</code> at the top of that script. Also, it is necessary to install the Stata module <code>outreg</code> by <code>ssc install outreg, replace</code> before running the do file.</p>
<h2 id="software-memory-and-runtime-requirements">Software, memory, and runtime requirements</h2>
<p>Running this analysis requires Stata version 16 or higher. Add-on packages are included in <code>scripts/libraries</code> and do not need to be installed by the user. In particular, the package <code>persuasio</code> is a Stata module that estimates the effect of persuasion and conducts inference.</p>
<p>Memory requirements are minimal. Runtime is approximately 3 hours on an iMac (M1, 2021) when running the default specification of <code>nbt = 10000</code> bootstraps.</p>
<h2 id="acknowledgment">Acknowledgment</h2>
<p>The structure of the replication files is forked from Illinois Workplace Wellness Study: Public Use Data Repository at <a href="https://github.com/reifjulian/illinois-wellness-data">https://github.com/reifjulian/illinois-wellness-data</a>.</p>

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